A special equipment maintenance management method

Abstract

The present invention provides a special equipment maintenance management method, which relates to the field of maintenance management, including: performing a first comparison between the real-time equipment parameters of the special equipment and the equipment parameters of the previous maintenance detection cycle, and performing a second comparison between the real-time equipment parameters of the special equipment and the standard equipment parameters of the same equipment type; obtaining the newly equipped maintenance parts and the corresponding operation types existing in the previous maintenance detection cycle, and obtaining the corresponding maintenance plan in combination with the first comparison result and the second comparison result; constructing the maintenance constraint conditions of the corresponding special equipment according to the historical maintenance attributes of each special equipment, and when the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraint conditions, managing and updating the corresponding maintenance database; obtaining an accurate equipment maintenance plan by comparing the real-time equipment parameters of the special equipment with the equipment and standard equipment parameters of the previous maintenance detection cycle, so that the maintenance management of the special equipment is more timely and accurate.

Description

Technical Field

[0001] The present invention relates to the field of maintenance management, and in particular to a special equipment maintenance management method. Background Art

[0002] At present, with the development of economy and the advancement of science and technology, the use of special equipment is becoming more and more extensive, and the models of special equipment are becoming more and more diverse.

[0003] However, the equipment maintenance process is complex. Equipment users must communicate with equipment management personnel to determine the name of the component requiring maintenance and the number of the outsourced component used during actual equipment operation. The equipment management personnel then confirm the design drawings of the component requiring maintenance and the model number of the outsourced component before accurate maintenance management can be carried out. This process is labor-intensive, time-consuming, and labor-intensive, without providing timely feedback, which also shortens the lifespan of the equipment.

[0004] Therefore, the present invention provides a special equipment maintenance management method. Summary of the Invention

[0005] The present invention provides a special equipment maintenance management method, which is used to obtain a more accurate equipment maintenance plan by comparing the real-time equipment parameters of the special equipment with the equipment parameters of the previous maintenance detection cycle and the corresponding standard equipment parameters, thereby making the maintenance management of the special equipment more timely and accurate.

[0006] The present invention provides a special equipment maintenance management method, comprising:

[0007] Step 1: Perform a first comparison between the real-time parameters of the special equipment and the parameters of the equipment in the previous maintenance inspection cycle. At the same time, perform a second comparison between the real-time parameters of the special equipment and the parameters of standard equipment of the same equipment type.

[0008] Step 2: Obtain the newly installed maintenance parts and the operation types of the newly installed maintenance parts in the previous maintenance detection cycle, and obtain the maintenance plan for the corresponding special equipment by combining the first comparison result and the second comparison result;

[0009] Step 3: Based on the historical maintenance attributes of each special equipment, the maintenance constraints of the corresponding special equipment are constructed. When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, the maintenance database of the corresponding special equipment is managed and updated.

[0010] In one possible implementation, performing a first comparison between the real-time parameters of the special equipment and the parameters of the equipment in the previous maintenance detection cycle includes:

[0011] Step 11: Acquire real-time equipment parameters of the special equipment, and classify the real-time equipment parameters to obtain first equipment parameters;

[0012] Step 12: Extracting equipment parameters of the same special equipment in the previous maintenance and inspection cycle from the equipment database, and classifying the parameters to obtain second equipment parameters;

[0013] Step 13: Compare the first device parameter with the corresponding sub-parameters in the second device parameter to determine the first parameter difference value corresponding to each sub-parameter.

[0014] In one possible implementation, performing a second comparison on the real-time device parameters of the special device and the standard device parameters of the same device type includes:

[0015] Step 01: Extract standard equipment parameters of special equipment of the same equipment type from the equipment database, classify the parameters, and obtain the third equipment parameters;

[0016] Step 02: Compare the first device parameter with the corresponding sub-parameters in the third device parameter to determine the difference value of the second parameter corresponding to each sub-parameter.

[0017] In one possible implementation, obtaining newly installed maintenance parts and the operation type of the newly installed maintenance parts in the previous maintenance detection cycle, and combining the first comparison result with the second comparison result to obtain a maintenance plan for the corresponding special equipment includes:

[0018] Step 21: Obtain the newly installed maintenance parts and operating parameters of the newly installed maintenance parts in the previous maintenance detection cycle;

[0019] Step 22: Analyze the operating parameters and operating type of the newly installed maintenance part and the operating parameters of the corresponding special equipment to obtain the equipment operating condition of the newly installed maintenance part;

[0020] Step 23: Based on the equipment operating conditions of the newly installed maintenance parts, determine the possible problems of the corresponding special equipment and the data manifestations of each possible problem to obtain a data-problem set;

[0021] Step 24: Compare the first parameter difference value with the second parameter difference value, extract the values ​​of the first parameter difference value not greater than the second parameter difference value under the same sub-parameter, and obtain a first difference set;

[0022] Step 25: Optimize the first difference set based on all data-problem sets involved in the previous maintenance and inspection cycle of the same special equipment to obtain a second difference set, and match the maintenance plan of the corresponding special equipment from the difference-plan database.

[0023] In one possible implementation, maintenance constraints for each special equipment are constructed based on its historical maintenance attributes, including:

[0024] Step 31: Determine the first constraint condition for each special equipment based on the historical performance and performance type corresponding to the special equipment;

[0025] Step 32: Determine a constraint accuracy set for each special equipment based on the degree of correlation between each historical maintenance attribute and the health of the corresponding special equipment;

[0026] Step 33: Attribute classification is performed on the historical maintenance attributes of the same special equipment, and a first relevance level of each attribute classification to the dynamic operation of the special equipment and a second relevance level to the static operation of the special equipment are determined, thereby obtaining relevant subsets of the same historical maintenance attributes and constructing a first set, wherein the first set includes relevant subsets under all historical maintenance attributes;

[0027] Step 34: Sort all first correlation levels in the first set to obtain a first ordered attribute set;

[0028] Sort all second correlation levels in the first set to obtain a second ordered attribute set;

[0029] Step 35: comprehensively determining the comprehensive relevance of each attribute subset based on the ranking position of each attribute subset in the first ordered attribute set and the second ordered attribute set;

[0030] Step 36: Determine the number N of accuracies that meet the preset accuracy requirements in the constrained accuracy set, sort the comprehensive relevance by size, and select the top N relevant subsets;

[0031] Constructing a second set of constraint conditions based on the first N relevant subsets and the attribute operation conditions of the matched historical maintenance attributes;

[0032] Step 37: Obtain the number of constraints in the second constraint condition set, and determine the minimum number of constraint sub-conditions in the second constraint condition set based on a preset ratio;

[0033] Step 38: Take the first constraint as the necessary constraint for the special equipment, the constraints in the second constraint set as the auxiliary constraints for the special equipment, and combine them with the minimum number of constraint sub-conditions to construct the maintenance constraint for the corresponding special equipment.

[0034] In one possible implementation, the first constraint condition for each special equipment is determined based on the historical performance and performance type of the special equipment, including:

[0035] Step 311: Match the historical performance of the special equipment to each historical maintenance attribute of the corresponding process according to the historical maintenance log of the same historical maintenance process;

[0036] Step 312: Eliminate each historical maintenance attribute in the same historical maintenance process one by one, and simulate the remaining historical maintenance attributes;

[0037] Step 313: Based on the simulation results, determine the historical maintenance attribute that has the greatest impact on the historical performance of the special equipment;

[0038] Step 314: extract all the most influential historical maintenance attributes of the same special equipment in different historical maintenance processes, and count the attributes with the most occurrences, so as to use the operating conditions of the attributes with the most occurrences as the first constraint condition.

[0039] In one possible implementation, when the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraint conditions, the maintenance database of the corresponding special equipment is managed and updated, including:

[0040] Compare the maintenance constraints of each special equipment with the parameters of the corresponding special equipment after maintenance;

[0041] If there are parameters after maintenance that are not within the parameter range corresponding to the maintenance constraint condition, it is determined that the corresponding special equipment has a fault;

[0042] On the contrary, the parameters of the special equipment after maintenance will be uploaded to the maintenance database, and the equipment parameters and equipment performance of the corresponding special equipment in the maintenance database in the previous maintenance inspection cycle will be overwritten to realize the management update of the maintenance database.

[0043] In one possible implementation, after managing and updating the maintenance database of the corresponding special equipment, the method further includes providing feedback on the real-time status of the special equipment, specifically including:

[0044] When the parameters of the corresponding special equipment after maintenance according to the maintenance plan do not meet the maintenance constraint conditions, new equipment parameters of the corresponding special equipment are obtained;

[0045] Compare the new equipment parameters with the parameter-fault database, match the parameter faults, and upload them to the intelligent management terminal to re-maintain and manage the special equipment. If the maintenance and management times reach the preset times, an equipment warning prompt will be issued;

[0046] When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, the maintenance database of the corresponding special equipment is managed and updated, and the results of the management update are uploaded to the intelligent management terminal for update feedback.

[0047] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0048] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0050] Figure 1 This is a flow chart of a special equipment maintenance and management method according to an embodiment of the present invention;

[0051] Figure 2 This is a flow chart of obtaining a maintenance plan for corresponding special equipment by combining the first comparison result and the second comparison result in an embodiment of the present invention;

[0052] Figure 3 This is a flow chart for determining the first constraint condition for each special equipment in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0054] Example 1:

[0055] The embodiment of the present invention provides a special equipment maintenance management method, such as Figure 1 Shown, including:

[0056] Step 1: Perform a first comparison between the real-time parameters of the special equipment and the parameters of the equipment in the previous maintenance inspection cycle. At the same time, perform a second comparison between the real-time parameters of the special equipment and the parameters of standard equipment of the same equipment type.

[0057] Step 2: Obtain the newly installed maintenance parts and the operation types of the newly installed maintenance parts in the previous maintenance detection cycle, and obtain the maintenance plan for the corresponding special equipment by combining the first comparison result and the second comparison result;

[0058] Step 3: Based on the historical maintenance attributes of each special equipment, the maintenance constraints of the corresponding special equipment are constructed. When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, the maintenance database of the corresponding special equipment is managed and updated.

[0059] In this embodiment, special equipment refers to equipment that involves life safety and is relatively dangerous, such as pressure pipes, elevators, lifting machinery, passenger ropeways, etc.

[0060] In this embodiment, the real-time parameters of the equipment refer to the equipment parameters of the special equipment in the current working state. For example, the real-time parameters of the elevator equipment include: drag mode, speed, acceleration, leveling accuracy, working noise, motor parameters, load, control mode, etc.

[0061] In this embodiment, the equipment parameters refer to equipment parameters obtained after maintenance management of the special equipment in the previous maintenance and inspection cycle.

[0062] In this embodiment, the standard equipment parameters refer to equipment parameters corresponding to equipment of the same type as the current special equipment in a standard environment and operating state.

[0063] In this embodiment, the first comparison refers to comparing the real-time equipment parameters of the special equipment with the equipment parameters of the previous maintenance and detection cycle to determine the difference between the real-time equipment parameters and the corresponding parameters of the equipment parameters; the second comparison refers to comparing the real-time equipment parameters of the special equipment with the standard equipment parameters of the same equipment type to determine the difference between the real-time equipment parameters and the corresponding parameters of the standard equipment parameters.

[0064] In this embodiment, the newly equipped maintenance parts refer to equipment maintenance parts that are replaced after the current special equipment has been maintained and managed in the previous maintenance and management cycle.

[0065] In this embodiment, the operation type includes an operation angle, an operation speed, an operation acceleration, a control mode, and the like.

[0066] In this embodiment, the maintenance plan refers to a method for maintaining and managing the real-time status of special equipment obtained by comparing and analyzing the real-time equipment parameters of the special equipment, such as adjusting the speed, acceleration, running direction of the special equipment, replacing accessories, or adjusting the lubrication of accessories.

[0067] In this embodiment, the historical maintenance attributes refer to equipment attributes of the special equipment corresponding to the maintenance methods of the special equipment during the historical maintenance process. For example, the historical maintenance attributes include cleaning, lubrication, tightening, adjustment, corrosion prevention, replacement, etc.

[0068] In this embodiment, the maintenance constraint condition refers to the constraint condition that requires constraint management of equipment parameters and operating parameters during the maintenance management of special equipment.

[0069] In this embodiment, the maintenance database refers to a database that stores equipment parameters and equipment performance of special equipment.

[0070] In this embodiment, management update refers to the process of uploading the real-time equipment parameters and equipment performance of the current special equipment to the maintenance management database and overwriting the original equipment parameters.

[0071] The beneficial effect of the above technical solution is that by comparing the real-time equipment parameters of special equipment with the equipment parameters of the previous maintenance inspection cycle and the corresponding standard equipment parameters, a more accurate equipment maintenance plan can be obtained, thereby making the maintenance management of special equipment more timely and accurate.

[0072] Example 2:

[0073] Based on Example 1, a first comparison is performed between the real-time parameters of the special equipment and the parameters of the equipment in the previous maintenance detection cycle, including:

[0074] Step 11: Acquire real-time equipment parameters of the special equipment, and classify the real-time equipment parameters to obtain first equipment parameters;

[0075] Step 12: Extracting equipment parameters of the same special equipment in the previous maintenance and inspection cycle from the equipment database, and classifying the parameters to obtain second equipment parameters;

[0076] Step 13: Compare the first device parameter with the corresponding sub-parameters in the second device parameter to determine the first parameter difference value corresponding to each sub-parameter.

[0077] In this embodiment, the real-time parameters of the equipment refer to the equipment parameters of the special equipment in the current working state. For example, the real-time parameters of the elevator equipment include: drag mode, speed, acceleration, leveling accuracy, working noise, motor parameters, load, control mode, etc.

[0078] In this embodiment, the first device parameter refers to the device parameter obtained by classifying the real-time device parameter according to different sources of the parameter.

[0079] In this embodiment, the maintenance and inspection cycle refers to the cycle for maintenance and management of special equipment. For example, a maintenance and management cycle of an elevator can be 12 hours or 24 hours.

[0080] In this embodiment, the equipment parameters refer to equipment parameters obtained after maintenance management of the special equipment in the previous maintenance and inspection cycle.

[0081] In this embodiment, the second equipment parameter refers to the equipment parameter obtained by extracting the equipment parameters of the same special equipment in the previous maintenance and detection cycle from the equipment database and classifying them according to the source of the parameters.

[0082] In this embodiment, the first parameter difference value refers to comparing the real-time parameters of the special equipment with the parameters of the equipment in the previous maintenance and detection cycle to determine the difference between the real-time parameters of the special equipment and the corresponding parameters of the equipment parameters.

[0083] The beneficial effect of the above technical solution is that by comparing the real-time equipment parameters of special equipment with the equipment parameters of the previous maintenance inspection cycle, and combining the comparison results of the real-time equipment parameters and the corresponding standard equipment parameters, a more accurate equipment maintenance plan can be obtained.

[0084] Example 3:

[0085] Based on Example 1, a second comparison is performed on the real-time parameters of the special equipment with the parameters of the standard equipment of the same equipment type, including:

[0086] Step 01: Extract standard equipment parameters of special equipment of the same equipment type from the equipment database, classify the parameters, and obtain the third equipment parameters;

[0087] Step 02: Compare the first device parameter with the corresponding sub-parameters in the third device parameter to determine the difference value of the second parameter corresponding to each sub-parameter.

[0088] In this embodiment, the equipment database refers to a database that stores data such as equipment parameters, equipment attributes, and equipment operating parameters of special equipment.

[0089] In this embodiment, the standard equipment parameters refer to equipment parameters corresponding to equipment of the same type as the current special equipment in a standard environment and operating state.

[0090] In this embodiment, the third equipment parameter refers to the equipment parameter obtained by extracting standard equipment parameters of special equipment of the same equipment type from the equipment database and classifying the parameters according to different sources.

[0091] In this embodiment, the second parameter difference value refers to comparing the real-time device parameters of the special equipment with the parameters of the standard equipment of the same type of equipment to determine the difference value between the corresponding parameters of the real-time device parameters and the standard equipment parameters.

[0092] The beneficial effect of the above technical solution is that by comparing the real-time parameters of the equipment with the corresponding standard equipment parameters, and combining the comparison results of the real-time parameters of the special equipment with the equipment parameters of the previous maintenance detection cycle, a more accurate equipment maintenance plan can be obtained.

[0093] Example 4:

[0094] Based on Example 3, the newly equipped maintenance parts and the operation type of the newly equipped maintenance parts in the previous maintenance detection cycle are obtained, and the maintenance plan for the corresponding special equipment is obtained by combining the first comparison result and the second comparison result, such as Figure 2 Shown, including:

[0095] Step 21: Obtain the newly installed maintenance parts and operating parameters of the newly installed maintenance parts in the previous maintenance detection cycle;

[0096] Step 22: Analyze the operating parameters and operating type of the newly installed maintenance part and the operating parameters of the corresponding special equipment to obtain the equipment operating condition of the newly installed maintenance part;

[0097] Step 23: Based on the equipment operating conditions of the newly installed maintenance parts, determine the possible problems of the corresponding special equipment and the data manifestations of each possible problem to obtain a data-problem set;

[0098] Step 24: Compare the first parameter difference value with the second parameter difference value, extract the values ​​of the first parameter difference value not greater than the second parameter difference value under the same sub-parameter, and obtain a first difference set;

[0099] Step 25: Optimize the first difference set based on all data-problem sets involved in the previous maintenance and inspection cycle of the same special equipment to obtain a second difference set, and match the maintenance plan of the corresponding special equipment from the difference-plan database.

[0100] In this embodiment, the maintenance and inspection cycle refers to the cycle for maintenance and management of special equipment. For example, a maintenance and management cycle of an elevator can be 12 hours or 24 hours.

[0101] In this embodiment, the newly equipped maintenance parts refer to equipment maintenance parts that are replaced after the current special equipment has been maintained and managed in the previous maintenance and management cycle.

[0102] In this embodiment, the operation type includes the operation angle, operation speed, operation acceleration, control mode, etc., and the operation parameters include the operation parameters of new maintenance parts and special equipment during operation. For example, the corresponding operation angle of the elevator during operation is 90 degrees with the horizontal direction, and the operation speed is 2m / s.

[0103] In this embodiment, the analysis refers to analyzing the data performance of the newly equipped maintenance part during operation based on the operating parameters of the newly equipped maintenance part and the equipment parameters of the corresponding special equipment.

[0104] In this embodiment, the equipment operating condition refers to the equipment working condition corresponding to the new maintenance parts contained in the special equipment under the current operating parameters, such as whether the rated speed of the elevator can be reached, whether the acceleration can be reached, whether the elevator load can be reached, etc.

[0105] In this embodiment, the data performance refers to the data performance corresponding to the equipment problem that may occur in the special equipment. For example, the rated load of the elevator is 500 kg, but the load of the elevator can only reach 400 kg under the current equipment working condition.

[0106] In this embodiment, the data-problem set refers to each problem and the data corresponding to the problem. For example, when a problem occurs with the elevator load, the rated load is 500 kg. When the elevator load is 400 kg, the corresponding problem is a failure in the overload device configuration. When the elevator load is 600 kg, the corresponding problem is too slow speed and acceleration.

[0107] In this embodiment, the first parameter difference value refers to comparing the real-time equipment parameters of the special equipment with the equipment parameters of the previous maintenance and detection cycle to determine the difference value between the real-time equipment parameters and the corresponding parameters of the equipment parameters; the second parameter difference value refers to comparing the real-time equipment parameters of the special equipment with the standard equipment parameters of the same equipment type to determine the difference value between the real-time equipment parameters and the corresponding parameters of the standard equipment parameters.

[0108] In this embodiment, the first difference set refers to a set consisting of the first parameter difference value and the parameter difference value difference corresponding to the second parameter difference value.

[0109] In this embodiment, the second difference set refers to a set obtained by optimizing the first difference set using all data-problem sets involved in the previous maintenance and inspection cycle of the same special equipment.

[0110] In this embodiment, the type-solution database refers to a database containing problem types and solutions corresponding to each equipment operating condition of special equipment.

[0111] In this embodiment, the special equipment maintenance plan refers to a method for maintaining and managing the real-time status of special equipment obtained by comparing and analyzing the real-time equipment parameters of the special equipment, such as adjusting the speed, acceleration, running direction, replacing accessories, or adjusting the lubrication of accessories.

[0112] The beneficial effect of the above technical solution is that by comparing and analyzing the real-time equipment parameters of special equipment with the equipment parameters of the previous maintenance and detection cycle and the corresponding standard equipment parameters, a more accurate equipment maintenance plan can be obtained.

[0113] Example 5:

[0114] Based on Example 4, maintenance constraints for the corresponding special equipment are constructed according to the historical maintenance attributes of each special equipment, including:

[0115] Step 31: Determine the first constraint condition for each special equipment based on the historical performance and performance type corresponding to the special equipment;

[0116] Step 32: Determine a constraint accuracy set for each special equipment based on the degree of correlation between each historical maintenance attribute and the health of the corresponding special equipment;

[0117] Step 33: Attribute classification is performed on the historical maintenance attributes of the same special equipment, and a first relevance level of each attribute classification to the dynamic operation of the special equipment and a second relevance level to the static operation of the special equipment are determined, thereby obtaining relevant subsets of the same historical maintenance attributes and constructing a first set, wherein the first set includes relevant subsets under all historical maintenance attributes;

[0118] Step 34: Sort all first correlation levels in the first set to obtain a first ordered attribute set;

[0119] Sort all second correlation levels in the first set to obtain a second ordered attribute set;

[0120] Step 35: comprehensively determining the comprehensive relevance of each attribute subset based on the ranking position of each attribute subset in the first ordered attribute set and the second ordered attribute set;

[0121] Step 36: Determine the number N of accuracies that meet the preset accuracy requirements in the constrained accuracy set, sort the comprehensive relevance by size, and select the top N relevant subsets;

[0122] Constructing a second set of constraint conditions based on the first N relevant subsets and the attribute operation conditions of the matched historical maintenance attributes;

[0123] Step 37: Obtain the number of constraints in the second constraint condition set, and determine the minimum number of constraint sub-conditions in the second constraint condition set based on a preset ratio;

[0124] Step 38: Take the first constraint as the necessary constraint for the special equipment, the constraints in the second constraint set as the auxiliary constraints for the special equipment, and combine them with the minimum number of constraint sub-conditions to construct the maintenance constraint for the corresponding special equipment.

[0125] In this embodiment, the historical maintenance attribute refers to the device attribute of the special equipment corresponding to the maintenance method of the special equipment in the historical maintenance process.

[0126] In this embodiment, historical performance refers to the equipment working status of the special equipment corresponding to the same historical maintenance process, and performance type refers to the data type corresponding to the equipment working performance data of the special equipment corresponding to the same historical maintenance process.

[0127] In this embodiment, the first constraint condition refers to a necessary constraint condition for constraining and managing equipment parameters and operating parameters during maintenance and management of special equipment.

[0128] In this embodiment, the health correlation degree refers to the correlation degree of the impact of each historical maintenance attribute of the special equipment on the equipment health of the special equipment.

[0129] In this embodiment, the constraint accuracy set refers to a constraint condition set obtained by correspondingly arranging the historical maintenance attributes of each special equipment in combination with the health relevance degree of the corresponding special equipment.

[0130] In this embodiment, the constraint accuracy calculated based on the degree of relevance between each historical maintenance attribute and the health of the corresponding special equipment is as follows:

[0131] ; Wherein, Y1 represents the health optimization value of special equipment after maintenance based on the i-th historical maintenance attribute; The equipment health value before maintenance of special equipment based on the i-th historical maintenance attribute; It represents the equipment health value of special equipment in normal operation state, and Y2>Y1>Y0; e represents the exponential function sign; represents the number of maintenance indicators of the i-th historical maintenance attribute; represents the maintenance difficulty of the j1th maintenance indicator; Indicates the maximum maintenance difficulty based on all historical maintenance attributes; represents the weight of the j1th maintenance indicator based on the maintenance difficulty; represents the weight of the j1th maintenance indicator based on the maintenance workload; represents the maintenance workload of the j1th maintenance indicator; Indicates the maximum maintenance workload based on all historical maintenance attributes; represents the constraint accuracy based on the i-th history maintenance attribute; To the extent that it is health-related;

[0132] Based on the constraint precisions corresponding to all historical maintenance attributes involved in the same special equipment, a constraint precision set is obtained.

[0133] In this embodiment, the constraint accuracy set is: for device 1: , where m1 represents the number of historical maintenance attributes involved in the corresponding feature device.

[0134] In this embodiment, attribute classification refers to classification based on historical maintenance attributes of special equipment, wherein the same historical maintenance attributes of the same special equipment in different historical maintenance processes are classified into the same category.

[0135] In this embodiment, the first correlation degree refers to the degree of influence of each historical maintenance attribute on the dynamic operation of the special equipment when the special equipment is in a dynamic operation state.

[0136] In this embodiment, the static operation of the special equipment refers to the operation data of the special equipment when the special equipment is working statically.

[0137] In this embodiment, the first set refers to a set including all historical maintenance attributes of special equipment, wherein the same historical maintenance attribute belongs to the same subset of the first set.

[0138] In this embodiment, the second correlation level refers to the degree of influence of the attribute type of each historical maintenance attribute on the dynamic operation of the special equipment when the special equipment is in a stationary state.

[0139] In this embodiment, the first ordered attribute set refers to the attribute set obtained by sorting each first attribute subset in the first set according to the first correlation degree, and the second ordered attribute set refers to the attribute set obtained by sorting each first attribute subset in the first set according to the second correlation degree.

[0140] In this embodiment, the comprehensive relevance refers to the relevance corresponding to each historical maintenance attribute determined based on the ranking position of each attribute subset in the first ordered attribute set and the second ordered attribute set.

[0141] In this embodiment, the specific process of determining the comprehensive relevance is as follows:

[0142]

[0143] Wherein, n01 represents the total number of sorting positions involved in the first ordered attribute set and the second ordered attribute set; Indicates the position number of the corresponding attribute subset based on the first ordered attribute set; Indicates the position number of the corresponding attribute subset based on the second ordered attribute set; Indicates a first correlation degree of the corresponding attribute subset based on the first ordered attribute set; Indicates a second degree of relevance of the corresponding attribute subset based on the second ordered attribute set; Indicates the maximum degree of correlation based on the first ordered attribute set; Indicates the maximum degree of correlation based on the second ordered attribute set; represents a first weight of the first ordered attribute set; a second weight representing a second ordered attribute set; Indicates the comprehensive relevance of the corresponding attribute subset.

[0144] In this embodiment, the number of precisions refers to the number of subsets in the constrained precision set.

[0145] In this embodiment, the second constraint condition set refers to a set constructed based on the first N relevant subsets in the constraint accuracy set and the attribute operation conditions of the matched historical maintenance attributes.

[0146] In this embodiment, the minimum number refers to the minimum number of constraint sub-conditions that need to be satisfied in the second constraint condition set determined based on the equipment operation accuracy of the special equipment.

[0147] In this embodiment, the necessary constraint condition is the first constraint condition, the auxiliary constraint condition is the second constraint condition set and the corresponding minimum number is combined, and the maintenance constraint condition refers to the constraint condition obtained by combining the first constraint condition and the second constraint condition set with the corresponding number of constraint sub-conditions.

[0148] The beneficial effect of the above technical solution is: by analyzing the historical maintenance attributes of special equipment, the first constraint condition of the special equipment is determined, and a more accurate maintenance constraint condition is formed together with other constraints, so that the maintenance management of special equipment is more timely and accurate.

[0149] Example 6:

[0150] Based on Example 5, the first constraint condition of each special equipment is determined according to the historical performance and performance type of the special equipment, such as Figure 3 Shown, including:

[0151] Step 311: Match the historical performance of the special equipment to each historical maintenance attribute of the corresponding process according to the historical maintenance log of the same historical maintenance process;

[0152] Step 312: Eliminate each historical maintenance attribute in the same historical maintenance process one by one, and simulate the remaining historical maintenance attributes;

[0153] Step 313: Based on the simulation results, determine the historical maintenance attribute that has the greatest impact on the historical performance of the special equipment;

[0154] Step 314: extract all the most influential historical maintenance attributes of the same special equipment in different historical maintenance processes, and count the attributes with the most occurrences, so as to use the operating conditions of the attributes with the most occurrences as the first constraint condition.

[0155] In this embodiment, the historical maintenance log refers to the maintenance experience record of the special equipment during the historical maintenance process.

[0156] In this embodiment, the historical maintenance attribute refers to the device attribute of the special equipment corresponding to the maintenance method of the special equipment in the historical maintenance process.

[0157] In this embodiment, the historical performance refers to the equipment working status corresponding to the special equipment in the same historical maintenance process.

[0158] In this embodiment, simulation refers to simulating responses to real-world situations based on a simulated real-world environment platform, thereby analyzing problems that may arise in the actual working process of the corresponding data.

[0159] In this embodiment, the first constraint condition refers to a necessary constraint condition for constraining and managing equipment parameters and operating parameters during maintenance and management of special equipment.

[0160] The beneficial effect of the above technical solution is: by analyzing the historical maintenance attributes of special equipment, the first constraint condition of the special equipment is determined, and a more accurate maintenance constraint condition is formed together with other constraints, so that the maintenance management of special equipment is more timely and accurate.

[0161] Example 7:

[0162] Based on Example 5, when the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraint conditions, the maintenance database of the corresponding special equipment is managed and updated, including:

[0163] Compare the maintenance constraints of each special equipment with the parameters of the corresponding special equipment after maintenance;

[0164] If there are parameters after maintenance that are not within the parameter range corresponding to the maintenance constraint condition, it is determined that the corresponding special equipment has a fault;

[0165] On the contrary, the parameters of the special equipment after maintenance will be uploaded to the maintenance database, and the equipment parameters and equipment performance of the corresponding special equipment in the maintenance database in the previous maintenance inspection cycle will be overwritten to realize the management update of the maintenance database.

[0166] In this embodiment, the maintenance constraint condition refers to the constraint condition that requires constraint management of equipment parameters and operating parameters during the maintenance management of special equipment.

[0167] In this embodiment, the maintenance database refers to a database that stores equipment parameters and equipment performance of special equipment.

[0168] In this embodiment, management update refers to the process of uploading the real-time equipment parameters and equipment performance of the current special equipment to the maintenance management database and overwriting the original equipment parameters.

[0169] The beneficial effect of the above technical solution is that by constraining the equipment maintenance plan of special equipment, the maintenance management results of special equipment can be determined more timely and accurately, thereby making the maintenance management of special equipment more timely and accurate.

[0170] Example 8:

[0171] Based on Example 1, after the maintenance database of the corresponding special equipment is managed and updated, the method further includes: providing feedback on the real-time status of the special equipment, specifically including:

[0172] When the parameters of the corresponding special equipment after maintenance according to the maintenance plan do not meet the maintenance constraint conditions, new equipment parameters of the corresponding special equipment are obtained;

[0173] Compare the new equipment parameters with the parameter-fault database, match the parameter faults, and upload them to the intelligent management terminal to re-maintain and manage the special equipment. If the maintenance and management times reach the preset times, an equipment warning prompt will be issued;

[0174] When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, the maintenance database of the corresponding special equipment is managed and updated, and the results of the management update are uploaded to the intelligent management terminal for update feedback.

[0175] In this embodiment, the maintenance plan refers to a method for maintaining and managing the real-time status of special equipment obtained by comparing and analyzing the real-time equipment parameters of the special equipment, such as adjusting the speed, acceleration, running direction of the special equipment, replacing accessories, or adjusting the lubrication of accessories.

[0176] In this embodiment, the new equipment parameters are the real-time parameters of the equipment, which refer to the equipment parameters of the special equipment in the current working state. For example, the real-time parameters of the elevator equipment include: drag mode, speed, acceleration, leveling accuracy, working noise, motor parameters, load, control mode, etc.

[0177] In this embodiment, the parameter-fault database refers to a database containing all equipment parameters of the special equipment and the fault conditions corresponding to the range to which each equipment parameter belongs.

[0178] In this embodiment, parameter failure refers to comparing the real-time parameters of the device with corresponding parameters in the parameter-fault database to determine the parameter range of the current parameters, thereby determining the fault condition corresponding to the current parameter range.

[0179] In this embodiment, the number of maintenance management times refers to the number of historical maintenance management times of each component in the special equipment.

[0180] In this embodiment, the maintenance constraint condition refers to the constraint condition that requires constraint management of equipment parameters and operating parameters during the maintenance management of special equipment.

[0181] In this embodiment, information feedback refers to real-time feedback by managing and updating the maintenance database of the corresponding special equipment after the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, and uploading the management update results to the intelligent management terminal.

[0182] The beneficial effect of the above technical solution is that by providing feedback on the real-time status of special equipment, the maintenance and management of special equipment can be made more timely and accurate.

[0183] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A special equipment maintenance management method, characterized in that: include: Step 1: Perform a first comparison between the real-time equipment parameters of the special equipment and the equipment parameters of the previous maintenance detection cycle, and at the same time, perform a second comparison between the real-time equipment parameters of the special equipment and the standard equipment parameters of the same equipment type; Step 2: Obtain the newly equipped maintenance parts and the operation type of the newly equipped maintenance parts in the previous maintenance detection cycle, and obtain the maintenance plan of the corresponding special equipment by combining the first comparison result and the second comparison result; Step 3: According to the historical maintenance attributes of each special equipment, the maintenance constraint conditions of the corresponding special equipment are constructed. When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraint conditions, the maintenance database of the corresponding special equipment is managed and updated; Among them, according to the historical maintenance attributes of each special equipment, the maintenance constraints of the corresponding special equipment are constructed, including: Step 31: Determine the first constraint condition of each special equipment according to the historical performance and performance type corresponding to the special equipment; Step 32: determining a constraint accuracy set for each special equipment based on the degree of relevance between each historical maintenance attribute and the health of the corresponding special equipment; Step 33: classifying the historical maintenance attributes of the same special equipment, and determining a first relevance degree of each attribute classification to the dynamic operation of the special equipment and a second relevance degree to the static operation of the special equipment, obtaining relevant subsets of the same historical maintenance attributes, and constructing a first set, wherein the first set includes relevant subsets under all historical maintenance attributes; Step 34: sorting all first correlation levels in the first set to obtain a first ordered attribute set; Sort all second correlation levels in the first set to obtain a second ordered attribute set; Step 35: comprehensively determining the comprehensive relevance of each attribute subset according to the ranking position of each attribute subset in the first ordered attribute set and the second ordered attribute set; Step 36: Determine the number N of accuracies that meet the preset accuracy requirements in the constrained accuracy set, sort the comprehensive relevance by size, and select the top N relevant subsets; Constructing a second set of constraint conditions according to the first N relevant subsets and the attribute operation conditions of the matched historical maintenance attributes; Step 37: Obtain the number of constraints in the second constraint condition set, and determine the minimum number of constraint sub-conditions in the second constraint condition set based on a preset ratio; Step 38: Taking the first constraint as the necessary constraint of the special equipment, the constraint in the second constraint set as the auxiliary constraint of the special equipment, and combining the minimum number of constraint sub-conditions, construct the maintenance constraint of the corresponding special equipment; Among them, the calculation of comprehensive correlation is as follows: Wherein, n01 represents the total number of sorting positions involved in the first ordered attribute set and the second ordered attribute set; represents the position number of the corresponding attribute subset based on the first ordered attribute set; represents the position number of the corresponding attribute subset based on the second ordered attribute set; Indicates a first correlation degree of the corresponding attribute subset based on the first ordered attribute set; Indicates a second correlation degree of the corresponding attribute subset based on the second ordered attribute set; Indicates the maximum degree of correlation based on the first ordered attribute set; represents the maximum degree of correlation based on the second ordered attribute set; a first weight representing a first ordered attribute set; a second weight representing a second ordered set of attributes; Indicates the comprehensive relevance of the corresponding attribute subset; Among them, newly equipped maintenance parts refer to equipment maintenance parts that are replaced after the current special equipment has undergone maintenance management in the previous maintenance management cycle.

2. A special equipment maintenance management method according to claim 1, characterized in that: The real-time parameters of the special equipment are first compared with the parameters of the equipment in the previous maintenance detection cycle, including: Step 11: Acquire the real-time equipment parameters of the special equipment, and classify the real-time equipment parameters to obtain the first equipment parameters; Step 12: extracting equipment parameters of the same special equipment in the previous maintenance and inspection cycle from the equipment database, and classifying the parameters to obtain second equipment parameters; Step 13: Compare the first device parameter with the corresponding sub-parameters in the second device parameter to determine the first parameter difference value corresponding to each sub-parameter.

3. A special equipment maintenance management method according to claim 2, characterized in that: A second comparison is made between the real-time equipment parameters of the special equipment and the standard equipment parameters of the same equipment type, including: Step 01: extract standard equipment parameters of special equipment of the same equipment type from the equipment database, classify the parameters, and obtain the third equipment parameters; Step 02: Compare the first device parameter with the corresponding sub-parameters in the third device parameter to determine the difference value of the second parameter corresponding to each sub-parameter.

4. A special equipment maintenance management method according to claim 3, characterized in that: Acquire the newly equipped maintenance parts existing in the last maintenance detection cycle and the operation type of the newly equipped maintenance parts, and acquire the maintenance plan of the corresponding special equipment in combination with the first comparison result and the second comparison result, including: Step 21: Acquire the newly equipped maintenance parts existing in the previous maintenance detection cycle and the operating parameters of the newly equipped maintenance parts; Step 22: Analyze the operating parameters and operating type of the newly equipped maintenance part and the operating parameters of the corresponding special equipment to obtain the equipment operating condition of the newly equipped maintenance part; Step 23: Based on the equipment working condition of the newly equipped maintenance parts, determine the possible problems of the corresponding special equipment and the data representation of each possible problem to obtain a data-problem set; Step 24: Compare the first parameter difference value with the second parameter difference value, extract the values ​​whose first parameter difference value is not greater than the second parameter difference value under the same sub-parameter, and obtain a first difference set; Step 25: Optimize the first difference set based on all data-problem sets involved in the previous maintenance and inspection cycle of the same special equipment to obtain a second difference set, and match the maintenance plan of the corresponding special equipment from the difference-plan database.

5. A special equipment maintenance management method according to claim 1, characterized in that: According to the historical performance and performance type of the special equipment, the first constraint condition of each special equipment is determined, including: Step 311: According to the historical maintenance log of the same historical maintenance process, matching the historical performance of the special equipment to each historical maintenance attribute of the corresponding process; Step 312: Eliminate each historical maintenance attribute in the same historical maintenance process one by one, and simulate the remaining historical maintenance attributes; Step 313: Based on the simulation results, determine the historical maintenance attribute that has the greatest impact on the historical performance of the special equipment; Step 314: extract all the historical maintenance attributes with the greatest impact in different historical maintenance processes of the same special equipment, count the attributes with the most occurrences, and use the operating conditions of the attributes with the most occurrences as the first constraint condition.

6. A special equipment maintenance management method according to claim 1, characterized in that: When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraint conditions, the maintenance database of the corresponding special equipment is managed and updated, including: Compare the maintenance constraints of each special equipment with the parameters of the corresponding special equipment after maintenance; If there are parameters after maintenance that are not within the parameter range corresponding to the maintenance constraint condition, it is determined that the corresponding special equipment has a fault; On the contrary, the parameters of the special equipment after maintenance will be uploaded to the maintenance database, and the equipment parameters and equipment performance of the corresponding special equipment in the maintenance database in the previous maintenance inspection cycle will be overwritten to realize the management update of the maintenance database.

7. A special equipment maintenance management method according to claim 1, characterized in that: After the maintenance database of the corresponding special equipment is managed and updated, it also includes: providing feedback on the real-time status of the special equipment, including: When the parameters of the corresponding special equipment after maintenance according to the maintenance plan do not meet the maintenance constraint conditions, new equipment parameters of the corresponding special equipment are obtained; Compare the new equipment parameters with the parameter-fault database, match the parameter faults, and upload them to the intelligent management terminal to re-maintain and manage the special equipment. If the number of maintenance management times reaches the preset number, an equipment early warning prompt will be issued; When the parameters of the corresponding special equipment after maintenance according to the maintenance plan meet the maintenance constraints, the maintenance database of the corresponding special equipment is managed and updated, and the results of the management update are uploaded to the intelligent management terminal for update feedback.

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